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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 337-357 of 6,792 articles

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.

Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major ...

Feb 2025 39922959

Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging.

Ensuring the safety and quality of poultry products requires efficient detection and removal of fore...

Feb 2025 39943610

Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values.

This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to pre...

Feb 2025 39910162

Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

BACKGROUND: Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and de...

Feb 2025 39899653

Using machine learning to predict outcomes following transcarotid artery revascularization.

Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedu...

Jan 2025 39890848

Improving explainability of post-separation suicide attempt prediction models for transitioning service members: insights from the Army Study to Assess Risk and Resilience in Servicemembers - Longitudinal Study.

Risk of U.S. Army soldier suicide-related behaviors increases substantially after separation from se...

Jan 2025 39885116

Enhancing neural stem cell integration in the injured spinal cord through targeted PTEN modulation.

JOURNAL/nrgr/04.03/01300535-202604000-00039/figure1/v/2025-06-30T060627Z/r/image-tiff Spinal cord in...

Jan 2025 39885671

Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.

BACKGROUND: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but ...

Jan 2025 39878595

Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model.

BackgroundEffective brain tumour therapy and better patient outcomes depend on early tumour diagnosi...

Dec 2024 40331540

Neurology

Browse Categories

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.

Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging.

Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values.

Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

Using machine learning to predict outcomes following transcarotid artery revascularization.

Improving explainability of post-separation suicide attempt prediction models for transitioning service members: insights from the Army Study to Assess Risk and Resilience in Servicemembers - Longitudinal Study.

Enhancing neural stem cell integration in the injured spinal cord through targeted PTEN modulation.

Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.

Robot-Assisted Endodontic Retreatment: A Case Report with Clinical Considerations.

Plasma IL-17A is increased in patients with critical MIS-C and associated to in-hospital mortality.

Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis.

Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning.

Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters.

AI-based models to predict decompensation on traumatic brain injury patients.

Changes in hematoma volume following aneurysmal subarachnoid hemorrhage and its impact on patient prognosis.

Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era.

Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets.

A machine learning model to predict neurological deterioration after mild traumatic brain injury in older adults.

Current trends in pharmaceutical industry: Post -CoVid-19 pandemic effects.

Prediction of prognosis in patients with cerebral contusions based on machine learning.

Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model.

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